Investigating cancer patients characteristics using a newly generated family of distributions

Abstract

The study aimed to address the modeling challenges associated with non-normal cancer patient characteristics by introducing a novel family of distributions. The analysis focused on datasets encompassing breast cancer, blood cancer, and acute myeloid leukemia patients. Extensive simulation experiments were conducted to compare different estimation techniques and identify the most suitable approach. The results demonstrated that the newly generated family of distributions outperformed the baseline model, providing a closer fit to the cancer patient data and offering valuable insights into patient outcomes and disease treatment.

Keywords

• Generated family
• Power function distribution
• Data analysis, cancer patient
• Goodness-of-fit